pytorch-widedeep
CapDec
| pytorch-widedeep | CapDec | |
|---|---|---|
| 7 | 3 | |
| 1,238 | 169 | |
| - | - | |
| 8.5 | 5.6 | |
| 6 days ago | 3 months ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pytorch-widedeep
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why can't I import pytorch-widedeep ?
Ask the dev https://github.com/jrzaurin/pytorch-widedeep/issues
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[P] pytorch-widedeep model alert: TabPerceiver and TabFastFormer are now available in the library
New DL models for Tabular Data and functionalities added to the pytorch-widedeep library
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[P] pytorch-widedeep model alert: SAINT and the FT-Transformer are now available in the library
🚨MODEL ALERT! 🚨New DL models for Tabular Data added to the pytorch-widedeep library . SAINT by Gowthami Somepalli and collaborators (paper: https://arxiv.org/abs/2106.01342) and the FT-Transformer which was already used at the SAINT paper but officially introduced by Yury Gorishniy and collaborators (paper: https://arxiv.org/abs/2106.11959). More functionalities coming soon to the [library](https://github.com/jrzaurin/pytorch-widedeep)
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How to do K-Fold Cross Validation for hyperparameter tuning on pytorch-widedeep ?
Now in pytorch-widedeep (https://github.com/jrzaurin/pytorch-widedeep) the recommended path for training a single model is:
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[P] pytorch-widedeep v1.0: deep learning for tabular data that you can combine with images and text
Main repo
- Pytorch-widedeep v1.0: deep learning for tabular data
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[P] pytorch-widedeep, deep learning for tabular data: Deep Learning vs LightGBM
A thorough comparison between Deep Learning algorithms for tabular data (using pytorch-widedeep ) and LightGBM for classification and regression problems.
CapDec
- Open source – Unsupervised captioning getting closer to supervised captioning
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Reverse engineer Stable Diffusion images
Cool! I also how a project that does image captioning: https://github.com/DavidHuji/CapDec
- CapDec: SOTA Zero Shot Image Captioning Using Clip and GPT2
What are some alternatives?
tabnet - PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
mmf - A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
alibi-detect - Algorithms for outlier, adversarial and drift detection
3DCoMPaT-v2 - 3DCoMPaT++: An improved large-scale 3D vision dataset for compositional recognition
rtdl - Research on Tabular Deep Learning (Python package & papers) [Moved to: https://github.com/Yura52/rtdl]
DeepViewAgg - [CVPR'22 Best Paper Finalist] Official PyTorch implementation of the method presented in "Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation"
torchio - Medical imaging toolkit for deep learning
MAGIC - Language Models Can See: Plugging Visual Controls in Text Generation
scrambpy - Scramb.py is a region based JPEG Image Scrambler and Descrambler written in Python for End-to-End-Encrypted (E2EE) Image distribution through unaware channels.
x-clip - A concise but complete implementation of CLIP with various experimental improvements from recent papers
autogluon - Fast and Accurate ML in 3 Lines of Code
LAVIS - LAVIS - A One-stop Library for Language-Vision Intelligence